PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-25 10:21:24.500270+00:00 (UTC)
In US/Central Time, this is 2024-08-25 05:21:24.500270-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/541cff6aec45b84a5ca5722adcacee6e2aedcc17f1b755bee07265e2ad9ce83a.png
We are just generating a random time serie here.
../_images/660b72b12437ce865553fa3a80fe30a90c8817e2c6ee34f437fdfc5cf94f82fd.png
../_images/e5a3e6bbd52c921db721ad91b3e43c4975eee6b7b789aa22d183068b346532a2.png